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yes<00:00:12.889><c> srinivasan</c><00:00:14.059><c> associate</c><00:00:15.059><c> dean</c><00:00:15.299><c> and</c>

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yes srinivasan associate dean and
 

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yes srinivasan associate dean and
distinguished<00:00:16.049><c> professor</c><00:00:16.680><c> Texas</c><00:00:17.609><c> Southern</c>

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distinguished professor Texas Southern
 

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distinguished professor Texas Southern
University<00:00:18.140><c> Houston</c><00:00:19.140><c> Texas</c><00:00:19.590><c> I</c><00:00:27.230><c> said</c><00:00:28.230><c> to</c><00:00:28.470><c> meet</c>

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University Houston Texas I said to meet
 

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University Houston Texas I said to meet
lot<00:00:29.070><c> of</c><00:00:29.279><c> professionals</c><00:00:30.000><c> from</c><00:00:30.179><c> various</c>

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lot of professionals from various
 

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lot of professionals from various
industries<00:00:31.289><c> so</c><00:00:32.130><c> that</c><00:00:32.369><c> helped</c><00:00:32.640><c> me</c><00:00:32.730><c> understand</c>

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industries so that helped me understand
 

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industries so that helped me understand
the<00:00:33.510><c> especially</c><00:00:34.260><c> the</c><00:00:34.290><c> LA</c><00:00:34.680><c> today</c><00:00:35.190><c> I</c><00:00:35.280><c> attended</c>

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the especially the LA today I attended
 

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the especially the LA today I attended
several<00:00:36.030><c> sessions</c><00:00:36.450><c> yesterday</c><00:00:37.170><c> some</c><00:00:37.800><c> sessions</c>

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several sessions yesterday some sessions
 

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several sessions yesterday some sessions
on<00:00:38.600><c> general</c><00:00:39.600><c> data</c><00:00:39.870><c> parsing</c><00:00:40.559><c> and</c><00:00:40.800><c> how</c><00:00:41.070><c> to</c>

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on general data parsing and how to
 

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on general data parsing and how to
derive<00:00:41.430><c> information</c><00:00:41.760><c> out</c><00:00:42.360><c> of</c><00:00:42.390><c> that</c><00:00:42.809><c> so</c><00:00:43.379><c> they</c>

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derive information out of that so they
 

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derive information out of that so they
were<00:00:43.620><c> very</c><00:00:43.890><c> helpful</c><00:00:44.129><c> the</c><00:00:44.520><c> I</c><00:00:44.550><c> aspects</c><00:00:45.450><c> the</c>

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were very helpful the I aspects the
 

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were very helpful the I aspects the
machine<00:00:46.200><c> learning</c><00:00:46.590><c> also</c><00:00:47.550><c> the</c><00:00:47.700><c> legal</c><00:00:48.120><c> aspects</c>

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machine learning also the legal aspects
 

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machine learning also the legal aspects
of<00:00:48.690><c> that</c><00:00:53.449><c> because</c><00:00:54.449><c> you</c><00:00:54.570><c> are</c><00:00:54.660><c> able</c><00:00:54.809><c> to</c><00:00:54.989><c> derive</c>

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of that because you are able to derive
 

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of that because you are able to derive
knowledge<00:00:55.890><c> from</c><00:00:56.160><c> add</c><00:00:57.260><c> apparently</c><00:00:58.260><c> disparate</c>

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knowledge from add apparently disparate
 

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knowledge from add apparently disparate
data<00:00:59.129><c> and</c><00:00:59.489><c> use</c><00:01:00.059><c> that</c><00:01:00.090><c> information</c><00:01:00.390><c> very</c>

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data and use that information very
 

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data and use that information very
effectively

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in<00:01:09.430><c> my</c><00:01:09.640><c> talk</c><00:01:09.880><c> I</c><00:01:10.090><c> specifically</c><00:01:10.600><c> mentioned</c><00:01:11.140><c> that</c>

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in my talk I specifically mentioned that
 

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in my talk I specifically mentioned that
behavioral<00:01:12.070><c> analytics</c><00:01:12.400><c> is</c><00:01:12.790><c> very</c><00:01:13.030><c> important</c>

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behavioral analytics is very important
 

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behavioral analytics is very important
because<00:01:14.410><c> we</c><00:01:14.740><c> are</c><00:01:14.830><c> able</c><00:01:14.980><c> to</c><00:01:15.160><c> derive</c><00:01:15.610><c> from</c><00:01:15.850><c> lots</c>

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because we are able to derive from lots
 

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because we are able to derive from lots
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of sources of data information about an
 

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of sources of data information about an
individual's<00:01:19.450><c> personal</c><00:01:20.410><c> attitudes</c><00:01:20.980><c> towards</c>

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individual's personal attitudes towards
 

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individual's personal attitudes towards
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the thing they are trying to protect so
 

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the thing they are trying to protect so
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if those things change over period of
 

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if those things change over period of
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time which invariably does the
 

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time which invariably does the
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first<00:01:38.140><c> you</c><00:01:38.320><c> need</c><00:01:38.440><c> to</c><00:01:38.500><c> have</c><00:01:38.770><c> good</c><00:01:39.040><c> ability</c><00:01:39.880><c> to</c>

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first you need to have good ability to
 

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first you need to have good ability to
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process large volumes of data quickly so
 

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process large volumes of data quickly so
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that requires a lot of knowledge of
 

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that requires a lot of knowledge of
mathematics<00:01:44.259><c> and</c><00:01:44.890><c> statistics</c><00:01:44.979><c> are</c><00:01:45.729><c> there</c>

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mathematics and statistics are there
 

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mathematics and statistics are there
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things that we emphasize in our program
 

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things that we emphasize in our program
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I do teach a class in their data science
 

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I do teach a class in their data science
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actually big data processing not data
 

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actually big data processing not data
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science are such where we emphasize the
 

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science are such where we emphasize the
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need for knowing several additional
 

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need for knowing several additional
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things besides your own subject AD&amp;D but
 

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things besides your own subject AD&amp;D but
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ability to process large volumes of data
 

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ability to process large volumes of data
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quickly requires knowing what clustering
 

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quickly requires knowing what clustering
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you

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